Measurement Model of Project Risks of Commercial Banks Based on Combination Weighting

Zhan-jiang Li, Guo-tai Chi () and Zhan-dong Xu
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Zhan-jiang Li: Dalian University of Technology
Guo-tai Chi: Dalian University of Technology
Zhan-dong Xu: Dalian University of Technology

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 499-509 from Springer

Abstract: Abstract How to utilize the limited risk information to measure the project risk is an urgent problem to be solved when commercial banks do not have the ability to master all specific information of the project. This paper uses five risk elements including government risk, industry risk, policy risk, investment risk and credit risk to reflect the project risk, and constructs measure model of the project risk when the commercial banks can not fully grasp the project information. The characteristic of this paper is to use combination weighting based on G1 and Maximizing Deviation method to measure the important degree of risk elements, further to solve measure problem of business project risks in the case of the limited project information. The results show that the important degree of the project risk is listed in descending order: government risk, investment risk, credit risk, policy risk, industry risk.

Keywords: Combination weighting; G1; Maximizing deviation; Project risk; Risk elements (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40072-8_49

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DOI: 10.1007/978-3-642-40072-8_49

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